Survey on artificial intelligence based techniques for emerging robotic communication

SH Alsamhi, O Ma, MS Ansari - Telecommunication Systems, 2019 - Springer
This paper reviews the current development of artificial intelligence (AI) techniques for the
application area of robot communication. The research of the control and operation of …

Symbiotic human-robot collaborative assembly

L Wang, R Gao, J Váncza, J Krüger, XV Wang… - CIRP annals, 2019 - Elsevier
In human-robot collaborative assembly, robots are often required to dynamically change
their pre-planned tasks to collaborate with human operators in a shared workspace …

User profiling and behavioral adaptation for HRI: A survey

S Rossi, F Ferland, A Tapus - Pattern Recognition Letters, 2017 - Elsevier
To effectively collaborate with people, robots are expected to detect and profile the users
they are interacting with, but also to modify and adapt their behavior according to the …

Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perspectives

SH Alsamhi, O Ma, MS Ansari - Journal of Intelligent & Robotic Systems, 2020 - Springer
Collaborative assemblies of robots are promising the next generation of robot applications
by ensuring that safe and reliable robots work collectively toward a common goal. To …

A survey on hybrid human-artificial intelligence for autonomous driving

H Ning, R Yin, A Ullah, F Shi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
With the continuous development of Artificial Intelligence (AI), autonomous driving has
become a popular research area. AI enables the autonomous driving system to make a …

Intent communication between autonomous vehicles and pedestrians

M Matthews, G Chowdhary, E Kieson - arXiv preprint arXiv:1708.07123, 2017 - arxiv.org
When pedestrians encounter vehicles, they typically stop and wait for a signal from the driver
to either cross or wait. What happens when the car is autonomous and there isn't a human …

Activity recognition using accelerometer sensor and machine learning classifiers

ASA Sukor, A Zakaria, NA Rahim - 2018 IEEE 14th …, 2018 - ieeexplore.ieee.org
Activity recognition is considered as an important task in many applications, particularly in
healthcare services. Among these applications include medical diagnostic, monitoring of …

On finite-state stochastic modeling and secure estimation of cyber-physical systems

D Shi, RJ Elliott, T Chen - IEEE Transactions on Automatic …, 2016 - ieeexplore.ieee.org
The problem of secure state estimation and attack detection in cyber-physical systems is
considered in this paper. A stochastic modeling framework is first introduced, based on …

Mobile mixed-reality interfaces that enhance human–robot interaction in shared spaces

JA Frank, M Moorhead, V Kapila - Frontiers in Robotics and AI, 2017 - frontiersin.org
Although user interfaces with gesture-based input and augmented graphics have promoted
intuitive human–robot interactions (HRI), they are often implemented in remote applications …

Object transfer point estimation for fluent human-robot handovers

H Nemlekar, D Dutia, Z Li - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Handing over objects is the foundation of many human-robot interaction and collaboration
tasks. In the scenario where a human is handing over an object to a robot, the human …